Genetic architecture of kernel-related traits in sweet and waxy maize revealed by genome-wide association analysis
Material type: ArticleLanguage: English Publication details: Frontiers, 2024. Switzerland :ISSN:- 1664-8021 (Online)
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Article | CIMMYT Knowledge Center: John Woolston Library | CIMMYT Staff Publications Collection | Available |
Peer review
Introduction Maize (Zea mays L.) is one of the most important crops worldwide, the kernel size-related traits are the major components of maize grain yield.Methods To dissect the genetic architecture of four kernel-related traits of 100-kernel weight, kernel length, kernel width, and kernel diameter, a genome-wide association study (GWAS) was conducted in the waxy and sweet maize panel comprising of 447 maize inbred lines re-sequenced at the 5x coverage depth. GWAS analysis was carried out with the mixed linear model using 1,684,029 high-quality SNP markers.Results In total, 49 SNPs significantly associated with the four kernel-related traits were identified, including 46 SNPs on chromosome 3, two SNPs on chromosome 4, and one SNP on chromosome 7. Haplotype regression analysis identified 338 haplotypes that significantly affected these four kernel-related traits. Genomic selection (GS) results revealed that a set of 10,000 SNPs and a training population size of 30% are sufficient for the application of GS in waxy and sweet maize breeding for kernel weight and kernel size. Forty candidate genes associated with the four kernel-related traits were identified, including both Zm00001d000707 and Zm00001d044139 expressed in the kernel development tissues and stages with unknown functions.Discussion These significant SNPs and important haplotypes provide valuable information for developing functional markers for the implementation of marker-assisted selection in breeding. The molecular mechanism of Zm00001d000707 and Zm00001d044139 regulating these kernel-related traits needs to be investigated further.
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Jingtao Qu : Not in IRS staff list but CIMMYT Affiliation
Diansi Yu : Not in IRS staff list but CIMMYT Affiliation
Wei Gu : Not in IRS staff list but CIMMYT Affiliation
Huiyun Kuang : Not in IRS staff list but CIMMYT Affiliation
Dongdong Dang : Not in IRS staff list but CIMMYT Affiliation
Hui Wang : Not in IRS staff list but CIMMYT Affiliation
Hongjian Zheng : Not in IRS staff list but CIMMYT Affiliation
Yuan Guan : Not in IRS staff list but CIMMYT Affiliation